ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing
Published in Design, Automation and Test in Europe (DATE), 2025
This paper presents ACEMARL, an adaptive clustering enhanced multi-agent reinforcement learning framework that improves the efficiency of analog circuit sizing through intelligent agent grouping strategies.
Recommended citation: Wu, H.*, Jiang, H.*, Ou, Y., Wang, Z., Shen, Q., Yuan, B., Lu, Y., & Jiang, J. (2025). "ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing." Design, Automation and Test in Europe (DATE). #